Object Detection and Tracking using Congnitive Approach

Mahajan J.R.¹ , C.S. Rawat²

¹ Department of ETE, Pacific University, Udaipur, India.
² Department of ETE, Vivekanand Institute of Technology, Chembur, India.

Correspondence should be addressed to: mahjayant@gmail.com.

Section:Review Paper, Product Type: Journal
Vol.5 , Issue.3 , pp.136-140, Jun-2017

Online published on Jun 30, 2017

Copyright © Mahajan J.R., C.S. Rawat . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
In the world of computer vision the object tracking is biggest challenge.The performance is suscaptible to various parameters such as occlusion,background clutter,change in illumination and scale variation.The development of high powered computers,the availability of high quality and inexpensive video cameras and increase in automated ,video analysis aid the purpose of object detection.Three key steps in video analysis are detection of moving objects,tracking of such objects from frame to frame and analysis of object to recognize their behavior.Different approaches have been proposed for object tracking.This paper combines tracking methods from braod categories that provide a unique solution to the widely applied object and tracking problem.

Key-Words / Index Term :
Object detection,Object tracking, PCA,LSR Camera

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